Job Overview

Implement and maintain data workflows, ETL / ELT processes, and pipelines to move identified
Design and implement identified data processes and storage such as usage of databases, data warehouses, data marts, and data lakes with data security in mind
Build supporting tooling and procedures needed for data movement and monitoring activities
Implement available automations for data movement processes
Ensure delivered workflows and processes meet expected quality outputs through conducting testing
Document specs and implementations of deliverables mentioned
Work with operations teams for maintenance and continuous improvement of workflows and pipelines into target platforms for further consumption and integration as required by product data owners

Key Capabilities/Experience

Proficiency and experience in programming languages such as Python, shell scripting
Expertise in ETL technologies such as IBM DataStage or similar tooling and data integration
Expertise in SQL / RDBMS databases, handling of structured and unstructured data
Extensive experience in design and implementation of data handling processes (ingestion, transformation, modelling, and storage)
Experience in cloud platforms and technologies (Azure, AWS, GCP) and DBT
Flexible and willing to learn various ETL / data integration tools and products
Experienced with software version control technologies such as Git
Experience in Automic (UC4) is a plus
Experience in CI / CD and Devops is a plus

Minimum Qualifications

Strong problem solving and solutions engineering mindset
Experience in working and coordinating remotely with international teams and stakeholders
Experience in Agile way of working is a plus
Preferably a degree in the related fields of Computer Science
Professional proficiency in English (speech and writing)

Data Engineer

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